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首页> 外文期刊>The Science of the Total Environment >Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau
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Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau

机译:利用植被光学深度和AVHRR NDVI判别人为因素引起的植被动态:蒙古高原的跨境研究

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AbstractDistinguishing the vegetation dynamics induced by anthropogenic factors and identifying the major drivers can provide crucial information for designing actionable and practical countermeasures to restore degraded grassland ecosystems. Based on the residual trend (RESTREND) method, this study distinguished the vegetation dynamics induced by anthropogenic factors from the effects of climate variability on the Mongolian Plateau during 1993–2012 using vegetation optical depth (VOD) and normalized difference vegetation index (NDVI), which measure vegetation water content in aboveground biomass and chlorophyll abundance in canopy cover respectively; afterwards, the major drivers within different agricultural zones and socio-institutional periods were identified by integrating agricultural statistics with statistical analysis techniques. The results showed that grasslands in Mongolia and the grazing zone of Inner Mongolia Autonomous Region (IMAR), China underwent a significant human-induced decrease in aboveground biomass during 1993–2012 and 1993–2000 respectively, which was attributable to the rapid growth of livestock densities stimulated by livestock privatization and market factors; by contrast, grasslands in these two regions did not experience a concurrent human-induced reduction in canopy greenness. Besides, the results indicated that grasslands in the grazing zone of IMAR underwent a significant human-induced increase in aboveground biomass since 2000, which was attributable to the reduced grazing pressure induced by China's ecological restoration programs; concurrently, grasslands in this region also experienced a remarkable increase in canopy greenness, however, this increase was found not directly caused by the decreased stocking densities. Furthermore, the results revealed that the farming and semi-grazing/farming zone of IMAR underwent a significant human-induced increase in both aboveground biomass and canopy greenness since 2000, which was attributable to the intensified grain production stimulated by market factors, open grazing regulation and confined feeding popularization. These findings suggest that China's grassland restoration practice has important implications for Mongolia to reverse the severe and continuous grassland degradation in the future.Graphical abstractDisplay OmittedHighlightsThe rapid growth of livestock densities contributed to the decrease in grassland aboveground biomass.China’s ecological restoration programs contributed to the increase in grassland aboveground biomass.Grazing exclusion led to the popularization of confined feeding and stimulated grain production in farming areas of IMAR.
机译: 摘要 区分人为因素引起的植被动态并确定主要驱动因素,可以为设计可行且实用的对策以恢复退化的草地生态系统提供重要信息。 。基于残留趋势(RESTREND)方法,本研究使用植被光学深度(VOD)和归一化植被指数(NDVI),将人为因素引起的植被动态与1993-2012年气候变化对蒙古高原的影响进行了区分,分别测量冠层覆盖量中地上生物量的植被含水量和叶绿素含量;之后,通过将农业统计数据与统计分析技术相结合,确定了不同农业区域和社会制度时期的主要驱动因素。结果表明,在1993-2012年和1993-2000年期间,中国的蒙古和内蒙古自治区(IMAR)的放牧地带的人为导致地上生物量显着减少,这归因于牲畜的快速生长牲畜私有化和市场因素刺激的密度;相比之下,这两个地区的草原并没有同时发生人为减少的冠层绿色。此外,结果表明,自2000年以来,内蒙古自治区放牧区的草原上人为引起的地上生物量显着增加,这归因于中国生态恢复计划降低了放牧压力。同时,该地区的草地冠层绿度也显着增加,但是,发现这种增加并非直接由放牧密度降低引起。此外,结果表明,自2000年以来,内蒙古自治区的耕作和半放牧/耕种区地上生物量和冠层绿色均显着增加,这归因于市场因素和开放放牧法规刺激下的粮食生产集约化并限制了饲料的普及。这些发现表明,中国的草地恢复实践对蒙古今后扭转严重而持续的草地退化具有重要意义。 图形摘要 省略显示 突出显示 快速增长牲畜密度导致草地地上生物量减少。 中国的生态恢复计划促进了草原地上生物量的增加。 排除放牧导致内蒙古自治区农耕地区普遍使用受限饲料并刺激了粮食生产。

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